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FUNGI: FUsioN Gene Integration toolset.
Cervera, Alejandra; Rausio, Heidi; Kähkönen, Tiia; Andersson, Noora; Partel, Gabriele; Rantanen, Ville; Paciello, Giulia; Ficarra, Elisa; Hynninen, Johanna; Hietanen, Sakari; Carpén, Olli; Lehtonen, Rainer; Hautaniemi, Sampsa; Huhtinen, Kaisa.
Afiliação
  • Cervera A; Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
  • Rausio H; Laboratorio de Diabetes, Facultad de Química, Universidad Nacional Autónoma de México, Campus Yucatán, 97302 Mérida, México.
  • Kähkönen T; Cancer Research Unit, Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, 20014 Turku, Finland.
  • Andersson N; Cancer Research Unit, Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, 20014 Turku, Finland.
  • Partel G; Department of Pathology, University of Helsinki and HUS-Diagnostics, Helsinki University Hospital, 00014 Helsinki, Finland.
  • Rantanen V; Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
  • Paciello G; Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
  • Ficarra E; Department of Computer Engineering, University of Modena and Reggio Emilia, 41121 Modena, Italy.
  • Hynninen J; Department of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia (UNIMORE), 42121 Reggio Emilia, Italy.
  • Hietanen S; Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, 20521 Turku, Finland.
  • Carpén O; Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, 20521 Turku, Finland.
  • Lehtonen R; Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
  • Hautaniemi S; Cancer Research Unit, Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, 20014 Turku, Finland.
  • Huhtinen K; Department of Pathology, University of Helsinki and HUS-Diagnostics, Helsinki University Hospital, 00014 Helsinki, Finland.
Bioinformatics ; 37(19): 3353-3355, 2021 Oct 11.
Article em En | MEDLINE | ID: mdl-33772596
ABSTRACT
MOTIVATION Fusion genes are both useful cancer biomarkers and important drug targets. Finding relevant fusion genes is challenging due to genomic instability resulting in a high number of passenger events. To reveal and prioritize relevant gene fusion events we have developed FUsionN Gene Identification toolset (FUNGI) that uses an ensemble of fusion detection algorithms with prioritization and visualization modules.

RESULTS:

We applied FUNGI to an ovarian cancer dataset of 107 tumor samples from 36 patients. Ten out of 11 detected and prioritized fusion genes were validated. Many of detected fusion genes affect the PI3K-AKT pathway with potential role in treatment resistance. AVAILABILITYAND IMPLEMENTATION FUNGI and its documentation are available at https//bitbucket.org/alejandra_cervera/fungi as standalone or from Anduril at https//www.anduril.org. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Finlândia

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Finlândia